Description
Review On Future Of Business Intelligence On Cloud
INTERNATIONAL JOURNAL OF TECHNOLOGY ENHANCEMENTS AND EMERGING ENGINEERING RESEARCH, VOL 3, ISSUE 06 50
ISSN 2347-4289
Copyright © 2015 IJTEEE.
Review On Future Of Business Intelligence On
Cloud
Krantee Jamdaade, Mohsin Choudhary, Riyaz Gangrekar
Lecturer, MCA Dept., L.B.H.S.S.T’s I.C.A. Bandra [E], Mumbai, India; Third Year Student of MCA Dept., L.B.H.S.S.T’s I.C.A.
Bandra [E], Mumbai, India, Third Year Student of MCA Dept., L.B.H.S.S.T’s I.C.A. Bandra [E], Mumbai, India,
Email: [email protected], [email protected], [email protected]
ABSTRACT: In current era business organizations are striving to get accurate data to make key decision. The popularity of Business Intelligence (BI) is
increasing day by day. Business Intelligence (BI) project are developed under strict budget which overshoot most of the time. There is always the need
to evolve with the technological advancement. Cloud BI provides a low cost, sensible solution for high cost Business Intelligence projects. Various new
cloud models can be integrated with BI which was not possible before. BI when used with cloud will solve problems associated with implementation. The
paper provides a review on future of Business Intelligence.
Keywords: Cloud BI, Cloud Business Intelligence, Business Intelligence, Cloud Computing.
1 INTRODUCTION
IN business environment large amount of data are gathered.
These data can play an important role in determining the
success of organization. Business Intelligence (BI) encompass
the tools and technique to analyze these data which enables
the decision maker to make key decisions based on the
information from the data of their customers and partners [5].
There is increase in popularity of cloud computing due to
reduction in cost of deploying application as compared to on-
site deployment which uses expensive hardware and software
for implantation. Therefore BI is moving to the cloud. Cloud BI
is the culmination of both the technologies [1]. Most
organization spent their budgets on software licenses,
hardware and networking. As implementation and
development of BI projects end most of the budget is
consumed on licenses, hardware and software which causes
increase in budget. Cloud computing BI provides an excellent
alternative by using various service model of cloud computing
to implement BI projects [2]. As organization need for
information grows with ever increasing data, cloud will allocate
more resources for less expense as compared to developing
at their own location. Because of cloud computing pay as you
go model over expense is avoided [1]. There are still
organizations which prefer developing project at their own
location due to security concern. Cloud BI is a novel idea to
evolve their development and minimize their cost of
deployment [3].
2 CLOUD COMPUTING
According to the official definition of National Institute of
standards and Technology (NIST) : “Cloud computing is a
model for enabling ubiquitous, convenient, on demand
network access to a shared pool of configurable computing
resources (for example networks, servers, storage,
applications and services) that can be rapidly provisioned and
released with minimal management or service provider
interaction” [6], [4]. Study conducted by KPMG, 81% of
businesses was either evaluating cloud services, planned a
cloud implementation or had implemented a cloud strategy [7].
Cloud makes availability of data from anywhere to the
authorized user. Cloud computing does not require a person to
be at same location of storage device, network and software.
The significant feature of cloud is that one can access
resources from any remote location through internet
connection.
2.1 Deployment Models
i. Private Cloud: A private cloud are used and accessed
by an organization. Private cloud hosted application are
secured which is sometimes not the case in public
cloud. It can be hosted inside or outside an organization
which is hosted by a service provider [6], [7].
ii. Public Cloud: Public cloud is available to everyone
which is made accessible by service provider.
Infrastructure is maintained by service provider. Most
common service providers are Google, Microsoft
Amazon AWS. Public clouds are vulnerable to attacks
[6], [7].
iii. Community cloud: Community cloud is similar to private
cloud which is shared between two or more
organization. It is cross breed of private and public
cloud. Organization access the services like public
cloud with privacy and security associated with private
cloud [6], [7].
iv. Hybrid cloud: Hybrid cloud is combination of more than
one cloud (public, private or community) within same
organization. Hybrid cloud allows distribution of
workload between two or more clouds [6], [7].
2.2 Service Models
i. Software as a Service (SaaS): In Software as a
Service readymade application is provided by the
service provider in cloud. Service providers have
complete power over the cloud infrastructure such as
physical storage devices, network infrastructure, type
of operation system, type of servers. Service provider
may offer small configuration control over the
application being rented [8].
ii. Platform as a Service (PaaS): Organization develops
their own software in cloud. Just as SaaS you have no
control over the infrastructure but have complete
control over the software being used [8].
INTERNATIONAL JOURNAL OF TECHNOLOGY ENHANCEMENTS AND EMERGING ENGINEERING RESEARCH, VOL 3, ISSUE 06 51
ISSN 2347-4289
Copyright © 2015 IJTEEE.
iii. Infrastructure as a service (IaaS): In this service
model cloud vendor equip client with hardware,
software, servers, network and organization have
complete authority over it [8].
3 BUSINESS INTELLIGENCE (BI)
Gartner defines business intelligence as: “An umbrellas term
that includes the application infrastructure and tools, and best
practices that enable access to and analysis of information to
improve and optimize decisions and performance” [16]. A BI
tool collects data from various sources. Business intelligence
includes various techniques and technologies such as data
mining, data warehousing, DotNET, web services etc. which
enables analysis of historical and current data from various
data sources. BI helps in decision making, prediction,
informing change in business growth, designing user interface,
showing key performance indicators etc. Another aspect of BI
is competitive intelligence which helps gaining business
information by acquiring information about its competitors in
industry [10]. Business intelligence generally follows three
basic steps of Extraction, Transformation and Loading (ETL).
i. Extraction: As the name suggest is responsible for
extracting data from data sources and maintaining the
data in standard format of data warehouse.
ii. Transformation: Now the extracted data goes through
various changes. Data which is not needed are removed.
The data from the original data source are changed to
meet the requirement.
iii. Loading: It is the final step in which extracted and
transformed data is loaded in data warehouse (DW).ETL
process helps in creation of data-model from data sources
[14].
4 NEED FOR BI IN CLOUD
4.1 Cost of On-Premise Business intelligence
Most of the BI tool maker does not make their license price
public. Almost all the licenses are brought from the sales team
which may quote prices higher than the original cost. There
may be possibility that someone else may be paying fewer
prices for the same license [12]. According to the Mark
Madsen: With increase in number of users the cost per user
also rises. Every BI tools cost are different, to calculate cost of
BI tool small, medium and large user count are considered
having same feature [12].
Fig 4.1.1 Usage scenario and User Count.
[Source adapted from [12]]
Mark Madsen states in his study that there are rare cases
where BI tools cost declines with increase in user. The Figure
below shows how the license cost per user increases with
increase in user [12].
Fig 4.1.2 Cost of tool Per User.
[Source adapted from [12]]
Add to the license, cost of support also increases with
increase in user according to Mark Madsen which directly
increases the cost of implementation [12]. Therefore cloud
gives an excellent alternative due to pay as you go model.
Apart from license cost it is important to know the total cost of
ownership. Low license does not equate to low cost of
ownership. Total cost of ownership includes hardware, license,
current development cost and cost of hardware not only
include servers cost but also cost of employee, electricity, rent,
and network etc. [11], [13].
4.2 Cost of BI in cloud
Having a BI tool on the cloud reduces total cost of ownership,
cloud also provides readymade infrastructure by providing the
hardware, network, software and access to other resources.
Jason Bowden stated that cost of labor decreases in cloud BI
to 6% and also saves up area needed for hardware and
network and stated some prominent service providers like
Amazon Web Services (AWS) cloud, Microsoft Azure and
Google cloud platform for providing excellent infrastructure for
BI in cloud. Amazon web services Cloud provides Amazon
Redshift for analytics and Amazon S3 cloud storage
infrastructure for BI on cloud for low cost [4], [13]. Readymade
BI application (SaaS) can be used with certain tweaks as
opposed to developing a BI application which takes a lot of
time therefore saving time and cost of deployment.
5 CLOUD BI OPTIONS
BI can be deployed on the cloud using its service model.
Following are the Cloud BI deployment options were given by
Mike Ferguson in the annual TDWI conference.
i. Public Cloud based IaaS for a BI system : Here
Infrastructure such as network, hardware, software, area
are provided by the vendor, even the labor cost to
manage infrastructure are handled by cloud vendors like
Savvis, Amazon, Rackspace, GoGrod, IBM, HP, Cisco
etc. And buying own ETL, DBMS and BI software.
Vendors are paid based on the infrastructures used [9].
ii. BI/DW (PaaS) on Public Cloud: In this option BI Systems
is built on public or externally hosted BI/DW PaaS. There
are two options Multi-Vendor or single Vendors.
a. Multi-Vendor BI PaaS: Example of multi-vendor
options is Rightscale/Talend/Vertica PaaS Vendor.
Data integration is file based which means when you
INTERNATIONAL JOURNAL OF TECHNOLOGY ENHANCEMENTS AND EMERGING ENGINEERING RESEARCH, VOL 3, ISSUE 06 52
ISSN 2347-4289
Copyright © 2015 IJTEEE.
upload the data some series of actions are
performed on that data to load into the PaaS DW/BI
database [9].
b. Single Vendor: Some of the vendors are GoodData,
SAP, BusinessObjects On-Demand. Vendor gives
only lightweight data integration once data is
uploaded [9].
iii. Readymade BI application: This option provides a
readymade application. It is an attractive option for small
and medium size business. Vendors which provide these
options are Cloud9, Analytics, Rosslyn Analytics, Lixto,
SAS, IBM Cognos [9].
iv. Public Cloud or externally hosted SaaS BI for operational
reporting on cloud based operational data: It is simply a
cloud based reporting system on operational data
typically from a cloud based transaction processing
system such as Salesforce.com. E.g SAP
BusinessObjects CrystalReports.com for Salesforce [9].
v. Private clouds BI system: This option is at inception in
terms of usage. Cloud based BI system known is IBM’s
internal Blue Insight which is based on IBM system Z &
IBM Cognos 8 BI. Large EDW are unwilling to move to
private clouds due to scalability and total cost of
ownership of private cloud [9].
Fig 5.1.1 Cloud BI Model
[Source adapted from: 15]
6 CLOUD COMPUTING BENEFITS FOR BI
1. Total Cost of ownership: Most notable advantage of using
BI on cloud is reduction in cost of total ownership from
inception to final deployment stage [13].
2. Mobility: An organization can access their application
anywhere, anytime through internet connection is the
most distinct feature of using cloud for BI.
3. Reliability: Cloud vendor are responsible for data storage
and its recovery. Vendor uses their own encryption,
backups and security to provide reliability [1].
4. Time: The time taken to setup and make application live is
decreased as there is need for setting up a new
infrastructure [15].
5. Pay as you go: Vendor charge for the services used.
These services provided are of very low cost. Therefore
deployment can be scaled up to down on requirement [1].
6. Upgrades: When using SaaS upgrades are done by the
vendor there is no need to pay extra for upgrades [1].
7. Support: Vendors provide their support in fields of the
services being used whenever there is any issue [4].
7 CONCLUSION
Business organizations look for positive figures in every fiscal
year. Due to volatile business environment it is difficult to
control BI project budget, Cloud BI decreases the total cost of
ownership. Using Cloud services and deployment model
organization makes BI application mobile from remote
locations to make important decisions. On premise
development of BI system requires a lot of time as well as cost
of ownership is high. Cloud BI gives various options for
deploying BI system.
ACKNOWLEDGMENT
We wish to thank our mentor Mrs.Krantee Jamdaade for
guiding us and giving us the motivation. The inputs given by
our mentor was very valuable in getting the review done.
REFERENCES
[1] Shimaa Ouf and Mona Nasr, “The Cloud Computing: The
Future of BI in the Cloud”
[2] Santosh chandran, “Most Common BI Implementation
mistake” , http://www.olympic.co.nz/most-common-bi-
implementation-mistakes/ (2015 )
[3] Marinela MIRCEA, Professor Bogdan GHILIC and Professor
Marian, "Stoica combining business intelligence with cloud
computing to deliver agility in actual economy”.
[4] Yuvraj singh gurjar and Vijay Singh Rathore , "Cloud Business
Intelligence – Is What Business Need Today" (IJRTE).
[5] Terry Ginley, “Why do I need a business intelligence
solution?”, http://www.socius1.com/why-do-i-need-a-business-
intelligence-solution/ (2014)
[6] Final Version of NIST Cloud Computing Definition Published ,
http://www.nist.gov/itl/csd/cloud-102511.cfm (2011)
[7] Blog, “Types of Cloud Computing: Private, Public and Hybrid
Clouds “, http://www.appcore.com/types-cloud-computing-
private-public-hybrid-clouds/.
[8] Oracle White paper, “Cloud ready business intelligence with
oracle Business Intelligence 11g”.
[9] Mike Ferguson, "Cloud Based BI – Understanding The
Options Is the Biggest Barrier"
http://intelligentbusiness.biz/wordpress/?p=281
[10] Jayanthi ranjan, "Business Intelligence: Concepts,
Components, Techniques and benefites" (Jatit).
[11] Peder, “Customer Rate BI vendors by cost”
http://unilytics.com/customers-rate-bi-vendors-by-cost/ (2013).
INTERNATIONAL JOURNAL OF TECHNOLOGY ENHANCEMENTS AND EMERGING ENGINEERING RESEARCH, VOL 3, ISSUE 06 53
ISSN 2347-4289
Copyright © 2015 IJTEEE.
[12] Mark Madsen, "Lowering the Cost of Business Intelligence
With Open Source A Comparison of Open Source and
Traditional Vendor Costs ".
[13] Jason Bowden, "How To Compare Business Intelligence
Cloud Costs And
Features".http://www.business2community.com/business-
intelligence/compare-business-intelligence-cloud-costs-
features-01041865 (2014).
[14] ETL Process, http://datawarehouse4u.info/ETL-process.html
Lekha menon and Bhawna Rehani, “Business Intelligence on
the Cloud: Overview and Use Cases”
[15] Gartner, “ IT Glossary: Business Intelligence(BI) “
http://www.gartner.com/it-glossary/business-intelligence-bi
doc_252797497.pdf
Review On Future Of Business Intelligence On Cloud
INTERNATIONAL JOURNAL OF TECHNOLOGY ENHANCEMENTS AND EMERGING ENGINEERING RESEARCH, VOL 3, ISSUE 06 50
ISSN 2347-4289
Copyright © 2015 IJTEEE.
Review On Future Of Business Intelligence On
Cloud
Krantee Jamdaade, Mohsin Choudhary, Riyaz Gangrekar
Lecturer, MCA Dept., L.B.H.S.S.T’s I.C.A. Bandra [E], Mumbai, India; Third Year Student of MCA Dept., L.B.H.S.S.T’s I.C.A.
Bandra [E], Mumbai, India, Third Year Student of MCA Dept., L.B.H.S.S.T’s I.C.A. Bandra [E], Mumbai, India,
Email: [email protected], [email protected], [email protected]
ABSTRACT: In current era business organizations are striving to get accurate data to make key decision. The popularity of Business Intelligence (BI) is
increasing day by day. Business Intelligence (BI) project are developed under strict budget which overshoot most of the time. There is always the need
to evolve with the technological advancement. Cloud BI provides a low cost, sensible solution for high cost Business Intelligence projects. Various new
cloud models can be integrated with BI which was not possible before. BI when used with cloud will solve problems associated with implementation. The
paper provides a review on future of Business Intelligence.
Keywords: Cloud BI, Cloud Business Intelligence, Business Intelligence, Cloud Computing.
1 INTRODUCTION
IN business environment large amount of data are gathered.
These data can play an important role in determining the
success of organization. Business Intelligence (BI) encompass
the tools and technique to analyze these data which enables
the decision maker to make key decisions based on the
information from the data of their customers and partners [5].
There is increase in popularity of cloud computing due to
reduction in cost of deploying application as compared to on-
site deployment which uses expensive hardware and software
for implantation. Therefore BI is moving to the cloud. Cloud BI
is the culmination of both the technologies [1]. Most
organization spent their budgets on software licenses,
hardware and networking. As implementation and
development of BI projects end most of the budget is
consumed on licenses, hardware and software which causes
increase in budget. Cloud computing BI provides an excellent
alternative by using various service model of cloud computing
to implement BI projects [2]. As organization need for
information grows with ever increasing data, cloud will allocate
more resources for less expense as compared to developing
at their own location. Because of cloud computing pay as you
go model over expense is avoided [1]. There are still
organizations which prefer developing project at their own
location due to security concern. Cloud BI is a novel idea to
evolve their development and minimize their cost of
deployment [3].
2 CLOUD COMPUTING
According to the official definition of National Institute of
standards and Technology (NIST) : “Cloud computing is a
model for enabling ubiquitous, convenient, on demand
network access to a shared pool of configurable computing
resources (for example networks, servers, storage,
applications and services) that can be rapidly provisioned and
released with minimal management or service provider
interaction” [6], [4]. Study conducted by KPMG, 81% of
businesses was either evaluating cloud services, planned a
cloud implementation or had implemented a cloud strategy [7].
Cloud makes availability of data from anywhere to the
authorized user. Cloud computing does not require a person to
be at same location of storage device, network and software.
The significant feature of cloud is that one can access
resources from any remote location through internet
connection.
2.1 Deployment Models
i. Private Cloud: A private cloud are used and accessed
by an organization. Private cloud hosted application are
secured which is sometimes not the case in public
cloud. It can be hosted inside or outside an organization
which is hosted by a service provider [6], [7].
ii. Public Cloud: Public cloud is available to everyone
which is made accessible by service provider.
Infrastructure is maintained by service provider. Most
common service providers are Google, Microsoft
Amazon AWS. Public clouds are vulnerable to attacks
[6], [7].
iii. Community cloud: Community cloud is similar to private
cloud which is shared between two or more
organization. It is cross breed of private and public
cloud. Organization access the services like public
cloud with privacy and security associated with private
cloud [6], [7].
iv. Hybrid cloud: Hybrid cloud is combination of more than
one cloud (public, private or community) within same
organization. Hybrid cloud allows distribution of
workload between two or more clouds [6], [7].
2.2 Service Models
i. Software as a Service (SaaS): In Software as a
Service readymade application is provided by the
service provider in cloud. Service providers have
complete power over the cloud infrastructure such as
physical storage devices, network infrastructure, type
of operation system, type of servers. Service provider
may offer small configuration control over the
application being rented [8].
ii. Platform as a Service (PaaS): Organization develops
their own software in cloud. Just as SaaS you have no
control over the infrastructure but have complete
control over the software being used [8].
INTERNATIONAL JOURNAL OF TECHNOLOGY ENHANCEMENTS AND EMERGING ENGINEERING RESEARCH, VOL 3, ISSUE 06 51
ISSN 2347-4289
Copyright © 2015 IJTEEE.
iii. Infrastructure as a service (IaaS): In this service
model cloud vendor equip client with hardware,
software, servers, network and organization have
complete authority over it [8].
3 BUSINESS INTELLIGENCE (BI)
Gartner defines business intelligence as: “An umbrellas term
that includes the application infrastructure and tools, and best
practices that enable access to and analysis of information to
improve and optimize decisions and performance” [16]. A BI
tool collects data from various sources. Business intelligence
includes various techniques and technologies such as data
mining, data warehousing, DotNET, web services etc. which
enables analysis of historical and current data from various
data sources. BI helps in decision making, prediction,
informing change in business growth, designing user interface,
showing key performance indicators etc. Another aspect of BI
is competitive intelligence which helps gaining business
information by acquiring information about its competitors in
industry [10]. Business intelligence generally follows three
basic steps of Extraction, Transformation and Loading (ETL).
i. Extraction: As the name suggest is responsible for
extracting data from data sources and maintaining the
data in standard format of data warehouse.
ii. Transformation: Now the extracted data goes through
various changes. Data which is not needed are removed.
The data from the original data source are changed to
meet the requirement.
iii. Loading: It is the final step in which extracted and
transformed data is loaded in data warehouse (DW).ETL
process helps in creation of data-model from data sources
[14].
4 NEED FOR BI IN CLOUD
4.1 Cost of On-Premise Business intelligence
Most of the BI tool maker does not make their license price
public. Almost all the licenses are brought from the sales team
which may quote prices higher than the original cost. There
may be possibility that someone else may be paying fewer
prices for the same license [12]. According to the Mark
Madsen: With increase in number of users the cost per user
also rises. Every BI tools cost are different, to calculate cost of
BI tool small, medium and large user count are considered
having same feature [12].
Fig 4.1.1 Usage scenario and User Count.
[Source adapted from [12]]
Mark Madsen states in his study that there are rare cases
where BI tools cost declines with increase in user. The Figure
below shows how the license cost per user increases with
increase in user [12].
Fig 4.1.2 Cost of tool Per User.
[Source adapted from [12]]
Add to the license, cost of support also increases with
increase in user according to Mark Madsen which directly
increases the cost of implementation [12]. Therefore cloud
gives an excellent alternative due to pay as you go model.
Apart from license cost it is important to know the total cost of
ownership. Low license does not equate to low cost of
ownership. Total cost of ownership includes hardware, license,
current development cost and cost of hardware not only
include servers cost but also cost of employee, electricity, rent,
and network etc. [11], [13].
4.2 Cost of BI in cloud
Having a BI tool on the cloud reduces total cost of ownership,
cloud also provides readymade infrastructure by providing the
hardware, network, software and access to other resources.
Jason Bowden stated that cost of labor decreases in cloud BI
to 6% and also saves up area needed for hardware and
network and stated some prominent service providers like
Amazon Web Services (AWS) cloud, Microsoft Azure and
Google cloud platform for providing excellent infrastructure for
BI in cloud. Amazon web services Cloud provides Amazon
Redshift for analytics and Amazon S3 cloud storage
infrastructure for BI on cloud for low cost [4], [13]. Readymade
BI application (SaaS) can be used with certain tweaks as
opposed to developing a BI application which takes a lot of
time therefore saving time and cost of deployment.
5 CLOUD BI OPTIONS
BI can be deployed on the cloud using its service model.
Following are the Cloud BI deployment options were given by
Mike Ferguson in the annual TDWI conference.
i. Public Cloud based IaaS for a BI system : Here
Infrastructure such as network, hardware, software, area
are provided by the vendor, even the labor cost to
manage infrastructure are handled by cloud vendors like
Savvis, Amazon, Rackspace, GoGrod, IBM, HP, Cisco
etc. And buying own ETL, DBMS and BI software.
Vendors are paid based on the infrastructures used [9].
ii. BI/DW (PaaS) on Public Cloud: In this option BI Systems
is built on public or externally hosted BI/DW PaaS. There
are two options Multi-Vendor or single Vendors.
a. Multi-Vendor BI PaaS: Example of multi-vendor
options is Rightscale/Talend/Vertica PaaS Vendor.
Data integration is file based which means when you
INTERNATIONAL JOURNAL OF TECHNOLOGY ENHANCEMENTS AND EMERGING ENGINEERING RESEARCH, VOL 3, ISSUE 06 52
ISSN 2347-4289
Copyright © 2015 IJTEEE.
upload the data some series of actions are
performed on that data to load into the PaaS DW/BI
database [9].
b. Single Vendor: Some of the vendors are GoodData,
SAP, BusinessObjects On-Demand. Vendor gives
only lightweight data integration once data is
uploaded [9].
iii. Readymade BI application: This option provides a
readymade application. It is an attractive option for small
and medium size business. Vendors which provide these
options are Cloud9, Analytics, Rosslyn Analytics, Lixto,
SAS, IBM Cognos [9].
iv. Public Cloud or externally hosted SaaS BI for operational
reporting on cloud based operational data: It is simply a
cloud based reporting system on operational data
typically from a cloud based transaction processing
system such as Salesforce.com. E.g SAP
BusinessObjects CrystalReports.com for Salesforce [9].
v. Private clouds BI system: This option is at inception in
terms of usage. Cloud based BI system known is IBM’s
internal Blue Insight which is based on IBM system Z &
IBM Cognos 8 BI. Large EDW are unwilling to move to
private clouds due to scalability and total cost of
ownership of private cloud [9].
Fig 5.1.1 Cloud BI Model
[Source adapted from: 15]
6 CLOUD COMPUTING BENEFITS FOR BI
1. Total Cost of ownership: Most notable advantage of using
BI on cloud is reduction in cost of total ownership from
inception to final deployment stage [13].
2. Mobility: An organization can access their application
anywhere, anytime through internet connection is the
most distinct feature of using cloud for BI.
3. Reliability: Cloud vendor are responsible for data storage
and its recovery. Vendor uses their own encryption,
backups and security to provide reliability [1].
4. Time: The time taken to setup and make application live is
decreased as there is need for setting up a new
infrastructure [15].
5. Pay as you go: Vendor charge for the services used.
These services provided are of very low cost. Therefore
deployment can be scaled up to down on requirement [1].
6. Upgrades: When using SaaS upgrades are done by the
vendor there is no need to pay extra for upgrades [1].
7. Support: Vendors provide their support in fields of the
services being used whenever there is any issue [4].
7 CONCLUSION
Business organizations look for positive figures in every fiscal
year. Due to volatile business environment it is difficult to
control BI project budget, Cloud BI decreases the total cost of
ownership. Using Cloud services and deployment model
organization makes BI application mobile from remote
locations to make important decisions. On premise
development of BI system requires a lot of time as well as cost
of ownership is high. Cloud BI gives various options for
deploying BI system.
ACKNOWLEDGMENT
We wish to thank our mentor Mrs.Krantee Jamdaade for
guiding us and giving us the motivation. The inputs given by
our mentor was very valuable in getting the review done.
REFERENCES
[1] Shimaa Ouf and Mona Nasr, “The Cloud Computing: The
Future of BI in the Cloud”
[2] Santosh chandran, “Most Common BI Implementation
mistake” , http://www.olympic.co.nz/most-common-bi-
implementation-mistakes/ (2015 )
[3] Marinela MIRCEA, Professor Bogdan GHILIC and Professor
Marian, "Stoica combining business intelligence with cloud
computing to deliver agility in actual economy”.
[4] Yuvraj singh gurjar and Vijay Singh Rathore , "Cloud Business
Intelligence – Is What Business Need Today" (IJRTE).
[5] Terry Ginley, “Why do I need a business intelligence
solution?”, http://www.socius1.com/why-do-i-need-a-business-
intelligence-solution/ (2014)
[6] Final Version of NIST Cloud Computing Definition Published ,
http://www.nist.gov/itl/csd/cloud-102511.cfm (2011)
[7] Blog, “Types of Cloud Computing: Private, Public and Hybrid
Clouds “, http://www.appcore.com/types-cloud-computing-
private-public-hybrid-clouds/.
[8] Oracle White paper, “Cloud ready business intelligence with
oracle Business Intelligence 11g”.
[9] Mike Ferguson, "Cloud Based BI – Understanding The
Options Is the Biggest Barrier"
http://intelligentbusiness.biz/wordpress/?p=281
[10] Jayanthi ranjan, "Business Intelligence: Concepts,
Components, Techniques and benefites" (Jatit).
[11] Peder, “Customer Rate BI vendors by cost”
http://unilytics.com/customers-rate-bi-vendors-by-cost/ (2013).
INTERNATIONAL JOURNAL OF TECHNOLOGY ENHANCEMENTS AND EMERGING ENGINEERING RESEARCH, VOL 3, ISSUE 06 53
ISSN 2347-4289
Copyright © 2015 IJTEEE.
[12] Mark Madsen, "Lowering the Cost of Business Intelligence
With Open Source A Comparison of Open Source and
Traditional Vendor Costs ".
[13] Jason Bowden, "How To Compare Business Intelligence
Cloud Costs And
Features".http://www.business2community.com/business-
intelligence/compare-business-intelligence-cloud-costs-
features-01041865 (2014).
[14] ETL Process, http://datawarehouse4u.info/ETL-process.html
Lekha menon and Bhawna Rehani, “Business Intelligence on
the Cloud: Overview and Use Cases”
[15] Gartner, “ IT Glossary: Business Intelligence(BI) “
http://www.gartner.com/it-glossary/business-intelligence-bi
doc_252797497.pdf